Friendbook: Semantic Based Friendship
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
Now a day’s friend recommendation has a greater impact on social networking. Friend recommendation based on social graph may not be most relevant to reflect user’s expectation on friend selection. Propose approach Based on novel semantic friend recommendation includes life-styles similarities based on text-mining. Using Text mining daily activities of user’s are modelled as life document. In this approach user’s daily life activities, lifestyles, habits, hobbies etc. can be extracted and generating similarity measure by calculating similarity impact. When receiving friend request system gives a list of user’s with highest recommendation score. After receiving recommendation, user can provide feedback which improves further recommendation accuracy.
Authors and Affiliations
Mr. Devkar Harshal, Miss. More Pranjali, Miss. Jadhav Shweta, Miss. Phalke Kajal, Prof. Chavan G. B.
Keywords
Related Articles
- EP ID EP23581
- DOI http://doi.org/10.22214/ijraset.2017.3121
- Views 296
- Downloads 7
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